Towards a dynamic multi-level negotiation framework in cloud computing

Omezzine, Aya; Tazi, Saïd; Bellamine, Narjes; Saoud, Ben; Drira, Khalil; Cooperman, Gene

doi:10.1109/cloudtech.2015.7336999

Cited by 5 publications

(8 citation statements)

References 24 publications

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“…6 For example, the provider could concede on the issue of budget until reaching its minimum expected profit, by using a time-dependent concession strategy. 6 For example, the provider could concede on the issue of budget until reaching its minimum expected profit, by using a time-dependent concession strategy.…”

Section: Time-dependent and Scheduling-based Strategymentioning

confidence: 99%

“…(3) Negotiation for cloud market, which focuses either on the pricing strategies 13,29 or the design of the cloud market. 6 Only few works propose a generic negotiation model and focus on a generic negotiation protocol. 6 Only few works propose a generic negotiation model and focus on a generic negotiation protocol.…”

Section: Cloud Negotiationmentioning

confidence: 99%

“…6 There is some work dealing with application negotiation (in the business layer) but without considering the resource provisioning (the first property). In fact, most of the literature focuses on negotiation in a specific layer and primarily resource negotiation at the IaaS layer.…”

Section: Introductionmentioning

confidence: 99%

“…Negotiation is considered as the most appealing and flexible approach in dealing with conflicts 5 and is widely used in the Cloud to establish SLAs. 6 Cloud application provisioning has 2 main properties that highly impact the decision-making process of negotiation and strategies for reaching a win-win agreement leading to efficient provisioning.…”

Section: Introductionmentioning

confidence: 99%

“…In fact, most of the literature focuses on negotiation in a specific layer and primarily resource negotiation at the IaaS layer. 6 There is some work dealing with application negotiation (in the business layer) but without considering the resource provisioning (the first property). 7 The prior work focuses on the time and market factors in decision making and does not consider the application scheduler strategy.…”

Section: Introductionmentioning

confidence: 99%

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Towards a generic multilayer negotiation framework for efficient application provisioning in the cloud

Omezzine

Saoud

Tazi

et al. 2017

Concurrency and Computation

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The cloud market is nowadays a complex environment where cloud application providers need to maximize their monetary profit and end users look for the most efficient services with the lowest prices. For efficient cloud provisioning, both providers and users should be satisfied in spite of their conflicting needs. Negotiation is the most flexible solution to solve conflicts and enable reaching win-win agreements. Cloud application provisioning has 2 main properties that highly impact the negotiation decision-making models: (1) The interdependence between the business layer and the resource layer, and (2) the dynamic provisioning context (eg, negotiators' preferences and application scheduler). Despite the importance of these 2 properties, the current negotiation models do not take these properties into account. This paper addresses both issues. We propose a multilayer negotiation framework, which also encompasses the potential for dynamic provisioning context. For that, we propose, first, a generic negotiation model dedicated to cloud provisioning. And second, we present its instantiation among cloud layers for efficient SaaS provisioning, to maximize provider profit and increase user satisfaction. The experiments show the benefits of adding negotiation to the provisioning process by improving it for provider profit, number of accepted requests, and client satisfaction. KEYWORDS automated negotiation, cloud provisioning, decision making, quality of service (QoS), SaaS application, service level agreement (SLA) 1 ing the quality of service (QoS) as part of the service level agreement (SLA) contract. 1Cloud provisioning is generally governed by the SLA contract established between the parties concerned. An SLA is a formal representation of QoS, with penalties and obligations agreed on by the contractors. 2 For an efficient cloud application provisioning, business providers aim to optimize profit (costs of rented VMs, budget, and penalty costs) and to satisfy end users (budget, response time, deadline, etc). For this reason, providers require SLA-and profit-aware provisioning strategies. In fact, applying classical provisioning strategies 3 (such as 1VMperAll, 1VMperJob, and BinPacking heuristics) may lead to a less than the optimal profit. These strategies focus only on resource utilization, which may lead either to an SLA violation, when resources are overloaded, or profit loss due to an underutilization of rented resources.Most SLA-based provisioning algorithms use a take-it-or-leave-it strategy. 4 When it is not possible to provide the requested service (while satisfying the obligations of the SLA), the provider rejects the request to avoid an SLA violation. By considering the constraints of resource provisioning (cost, availability, etc), the business provider may reject several requests, which may lead to a loss of potential profit.With the evolution of the cloud market and the competitiveness among cloud providers, a take-it-or-leave-it strategy may be a bad wileyonlinelibrary.com/journal/cpe

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Section: Time-dependent and Scheduling-based Strategymentioning

confidence: 99%

Section: Cloud Negotiationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Towards a generic multilayer negotiation framework for efficient application provisioning in the cloud

Omezzine

Saoud

Tazi

et al. 2017

Concurrency and Computation

Self Cite

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Dynamic SLAs for Clouds

Uriarte¹,

Tiezzi²,

Nicola³

2016

Service-Oriented and Cloud Computing

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In the Cloud domain, to guarantee adaptation to the needs of users and providers, Service-Level-Agreements (SLAs) would benefit from mechanisms to capture the dynamism of services. The existing SLA languages attempt to address this challenge by focusing on renegotiation of the agreement terms, which is a heavy-weight process, not really suitable for dealing with cloud dynamism. In this paper, we propose an extension of SLAC, a SLA language for clouds that we have recently defined, with a mechanism that enable dynamic modifications of the service agreement. We formally describe this extension, implement it in the SLAC framework and analyse the impacts of dynamic SLAs in some applications. The advantages of dynamic SLAs are demonstrated by comparing their effect with that of static SLA and of the “renegotiation” approach

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